The analyst will own the contract lifecycle management process, including routing, approval, and storage of various legal agreements. They will also draft, review, and negotiate vendor and commercial contracts while providing practical advice on risk allocation.
You will lead the end-to-end product lifecycle and strategy for Toloka's B2B platform solutions. This includes managing cross-functional teams to drive product development, user acquisition, and revenue growth.
You will own the end-to-end fine-tuning, reinforcement learning, and evaluation stack while bridging applied research with product engineering. This involves spearheading post-training initiatives, building evaluation harnesses, and transforming complex experiments into scalable platform features.
The HR Coordinator will manage end-to-end onboarding processes, internal communications, and employee engagement initiatives. They will also maintain HR systems, handle performance review cycles, and provide day-to-day support to employees and managers.
You will source and secure new data partnerships by identifying and pitching to businesses that have not previously sold their operational data. You will manage the end-to-end deal process, including negotiation, legal coordination, and scaling pilot programs into long-term agreements.
The Project Manager will lead a virtual team of freelancers, including AI tutors and subject matter experts, to ensure high-quality project outcomes. They are responsible for capacity planning, onboarding pipelines, and monitoring performance to meet delivery goals.
Manage a virtual team of freelancers including AI tutors and subject matter experts to ensure high-quality project outcomes. Oversee day-to-day workforce operations, including capacity planning, forecasting, and onboarding pipelines.
Drive the end-to-end execution of complex Physical AI data projects from pilot to production. Orchestrate cross-functional teams and global contributor networks to meet quality, throughput, and timeline targets.
You will design, train, and deploy AI agents while managing the full ML lifecycle from research to production scaling. You will also build agentic workflows in Python and implement observability metrics to ensure system reliability.
Act as a senior technical advisor to client executives to design and implement rigorous AI data strategies. Build hands-on data-generation, labeling, and evaluation pipelines to improve the performance of Large Language Models.
Own and scale the execution of complex AI data projects, ensuring high quality, timeline adherence, and gross margin targets. Lead end-to-end delivery of LLM-powered initiatives while managing C-level stakeholders and cross-functional technical teams.
Own and scale the execution of complex AI data projects, ensuring high quality, timeline adherence, and gross margin targets. Lead end-to-end delivery of LLM-powered products while managing technical workstreams and C-level stakeholder communications.
Design and implement end-to-end AI data labeling pipelines and tailored data solutions for customers. Act as a primary technical advisor to translate client needs into actionable delivery plans and scalable AI solutions.
The role involves designing and delivering data labeling pipelines and technical solutions to meet customer needs. It also requires managing client communications and monitoring solution performance to ensure high-quality data delivery.
Design and implement end-to-end AI data labeling pipelines and tailored data solutions for customers. Act as a technical advisor to translate client needs into actionable delivery plans and manage project outcomes.
